Paper Citation Record · LEDGER

Momentum Benefits Non-IID Federated Learning Simply and Provably

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2306.16504.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2306.16504 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:30:46.925580Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T21:16:14.067961Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fb649365-9285-45a0-bb78-5a07f0ef98de · inbound

Gradient Correction in Federated Learning with Adaptive Optimization cites this paper.

Gradient Correction in Federated Learning with Adaptive Optimization Momentum Benefits Non-IID Federated Learning Simply and Provably

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T11:30:46.925580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7b0cc91-41d7-41bc-8c0b-d11ba23cff31 · inbound

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios cites this paper.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Momentum Benefits Non-IID Federated Learning Simply and Provably

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:03.754209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d331bf4-fe51-4281-8629-b60112b87185 · inbound

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis cites this paper.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Momentum Benefits Non-IID Federated Learning Simply and Provably

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T16:34:00.191809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df0861c-4dc4-4a3a-8e0e-4aa72c211ab0 · inbound

Accelerating Optimization and Machine Learning through Decentralization cites this paper.

Accelerating Optimization and Machine Learning through Decentralization Momentum Benefits Non-IID Federated Learning Simply and Provably

Reference 53

Resolution: malformed identifier; arxiv_id, observed 2026-05-10T02:48:27.136526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c83e5f4-ac4d-472e-acba-7df85769ebf9 · inbound

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection cites this paper.

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection Momentum Benefits Non-IID Federated Learning Simply and Provably

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:16.539635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84ccb07a-4705-43d5-8c16-7d6404bf4d28 · inbound

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection cites this paper.

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection Momentum Benefits Non-IID Federated Learning Simply and Provably

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:15:44.209153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72c97f11-3ee4-4438-9319-cf3581368640 · inbound

Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning cites this paper.

Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning Momentum Benefits Non-IID Federated Learning Simply and Provably

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:16:14.069570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.